UX research that leads to decisions, not debate (sponsored by Lyssna)

You’ve got a product decision to make - what to build next, what to improve, or whether something is worth shipping.

You run the research, get feedback from users, and expect it to point you in the right direction. But instead, you get more internal debate. More interpretation. More opinions.

Even with real user input, teams struggle to align on what to do next.

Sometimes it shows up as averages like 3.5 out of 5. Other times it's a mix of conflicting feedback that everyone reads differently.

Either way, the result is the same: research that should move things forward ends up slowing things down.

This usually isn't a tools problem or a sample size problem. It's a study design problem. Vague questions and overly “safe” language and rating scales create a false sense of rigor while masking the clear signals your team actually needs.

The result: research that feels thorough - but doesn’t drive action.

In this hands-on workshop, we'll fix a real study together, live. You'll see how small changes to question design produce sharper, more decisive results. Practical, opinionated, and immediately applicable.

What you'll learn

• Why “safe” research questions lead to unclear, unusable results
• The 3 common patterns behind wishy-washy findings - and how to avoid them
• How to design questions that produce clearer signals and sharper insights
• How to create results your team can confidently act on

What we’ll do

• Review a real example of a vague, bloated study and its results
• Ask the hard question: would you actually make a product decision based on this?
• Rewrite the study live - and compare before vs. after
• Walk away with a framework you can apply immediately

Who it’s for

• Product designers, UX researchers, and and anyone doing research who wants clearer, more actionable results.